[;j <ddlZddlmZdejddfdZy)N)view_as_blocksc tj|r|f|jz}n#t||jk7r t d|i}g}t t|D]^}||dkr t d|j |||zdk7r|||j |||zz }nd}|jd|f`tjtj|rtj||d|}t||}||fdtt |j|ji|S)aDownsample image by applying function `func` to local blocks. This function is useful for max and mean pooling, for example. Parameters ---------- image : (M[, ...]) ndarray N-dimensional input image. block_size : array_like or int Array containing down-sampling integer factor along each axis. Default block_size is 2. func : callable Function object which is used to calculate the return value for each local block. This function must implement an ``axis`` parameter. Primary functions are ``numpy.sum``, ``numpy.min``, ``numpy.max``, ``numpy.mean`` and ``numpy.median``. See also `func_kwargs`. cval : float Constant padding value if image is not perfectly divisible by the block size. func_kwargs : dict Keyword arguments passed to `func`. Notably useful for passing dtype argument to ``np.mean``. Takes dictionary of inputs, e.g.: ``func_kwargs={'dtype': np.float16})``. Returns ------- image : ndarray Down-sampled image with same number of dimensions as input image. Examples -------- >>> from skimage.measure import block_reduce >>> image = np.arange(3*3*4).reshape(3, 3, 4) >>> image # doctest: +NORMALIZE_WHITESPACE array([[[ 0, 1, 2, 3], [ 4, 5, 6, 7], [ 8, 9, 10, 11]], [[12, 13, 14, 15], [16, 17, 18, 19], [20, 21, 22, 23]], [[24, 25, 26, 27], [28, 29, 30, 31], [32, 33, 34, 35]]]) >>> block_reduce(image, block_size=(3, 3, 1), func=np.mean) array([[[16., 17., 18., 19.]]]) >>> image_max1 = block_reduce(image, block_size=(1, 3, 4), func=np.max) >>> image_max1 # doctest: +NORMALIZE_WHITESPACE array([[[11]], [[23]], [[35]]]) >>> image_max2 = block_reduce(image, block_size=(3, 1, 4), func=np.max) >>> image_max2 # doctest: +NORMALIZE_WHITESPACE array([[[27], [31], [35]]]) zF`block_size` must be a scalar or have the same length as `image.shape`zYDown-sampling factors must be >= 1. Use `skimage.transform.resize` to up-sample an image.rconstant) pad_widthmodeconstant_valuesaxis) npisscalarndimlen ValueErrorrangeshapeappendanyasarraypadrtuple) image block_sizefunccval func_kwargsri after_widthblockeds ^G:\00. PROJECTS\API\Inventory\templateJSON\kerjaOCR\Lib\site-packages\skimage/measure/block.py block_reducer!s;t {{: ]UZZ/ ZEJJ & W   I 3z? # a=1   ;;q>JqM )Q .$Q-5;;q>JqM+IJKK![)*$ vvbjj#$ YZ UJ/G  TeE%**gll$CD T TT)numpyr utilrsumr!r"r r's!!$%266tYUr"